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BTR: training asynchronous Boolean models using single-cell expression data

BACKGROUND: Rapid technological innovation for the generation of single-cell genomics data presents new challenges and opportunities for bioinformatics analysis. One such area lies in the development of new ways to train gene regulatory networks. The use of single-cell expression profiling technique...

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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Lim, Chee Yee, Wang, Huange, Woodhouse, Steven, Piterman, Nir, Wernisch, Lorenz, Fisher, Jasmin, Göttgens, Berthold
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2016
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5012073/
https://ncbi.nlm.nih.gov/pubmed/27600248
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1235-y
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